Machine Learning Models for Predicting Hearing Prognosis in Unilateral Idiopathic Sudden Sensorineural Hearing Loss

OBJECTIVES. Prognosticating idiopathic sudden sensorineural hearing loss (ISSNHL) is an important challenge. In our study, a dataset was split into training and test sets and cross-validation was implemented on the training set, thereby determining the hyperparameters for machine learning models wit...

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Detalles Bibliográficos
Autores principales: Park, Keon Vin, Oh, Kyoung Ho, Jeong, Yong Jun, Rhee, Jihye, Han, Mun Soo, Han, Sung Won, Choi, June
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Otorhinolaryngology-Head and Neck Surgery 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248600/
https://www.ncbi.nlm.nih.gov/pubmed/32156103
http://dx.doi.org/10.21053/ceo.2019.01858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248600/
https://www.ncbi.nlm.nih.gov/pubmed/32156103
http://dx.doi.org/10.21053/ceo.2019.01858

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